文件名称:renlea

  • 所属分类:
  • 其他小程序
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2014-04-29
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  • 657kb
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  • 0次
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  • 虎*
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解决不完全马尔科夫过程机器学习的学习方法-Learning method to solve the incomplete machine learning Markov process
(系统自动生成,下载前可以参看下载内容)

下载文件列表





renlea\agent\actfuns\act.m

......\.....\.......\asfq_greedyact.m

......\.....\.......\Contents.m

......\.....\.......\detpiact.m

......\.....\.......\fullstate_greedyact.m

......\.....\.......\fullstate_stochact.m

......\.....\.......\greedyact.m

......\.....\.......\pigreedyact.m

......\.....\.......\staticact.m

......\.....\.......\stochact.m

......\.....\.......\teamgreedyact.m

......\.....\agent.m

......\.....\agent_cleanup.m

......\.....\agent_control.m

......\.....\agent_initlearn.m

......\.....\Contents.m

......\.....\explorefuns\Contents.m

......\.....\...........\explore.m

......\.....\...........\nilexplore.m

......\.....\...........\randomexplore.m

......\.....\learnfuns\asfq.m

......\.....\.........\asfq_init.m

......\.....\.........\Contents.m

......\.....\.........\distrq.m

......\.....\.........\distrq_init.m

......\.....\.........\fullstate_plainq.m

......\.....\.........\fullstate_plainq_init.m

......\.....\.........\lrn.m

......\.....\.........\lrn_init.m

......\.....\.........\minimaxq2.m

......\.....\.........\minimaxq2_init.m

......\.....\.........\nillearn.m

......\.....\.........\nillearn_init.m

......\.....\.........\plainq.m

......\.....\.........\plainq_init.m

......\.....\.........\teamq.m

......\.....\.........\teamq_init.m

......\.....\.........\wolfq.m

......\.....\.........\wolfq_init.m

......\batch\Contents.m

......\.....\processexp.m

......\.....\runexp.m

......\Changelog.m

......\cleanuprl.m

......\Contents.m

......\episodic_learn.m

......\episodic_replay.m

......\learn.m

......\.ib\checkparams.m

......\...\grayscalefromconfig.m

......\...\lin2ndi.m

......\...\mdegs.m

......\...\ndi2lin.m

......\...\parseconfig.m

......\...\saveplot.m

......\...\setfigprop.m

......\...\structtovars.m

......\...\varstostruct.m

......\Q学习中基于模糊规则的强化函数设计方法_赵晓华.pdf

......\replay.m

......\.ldemo\alg_gui.fig

......\......\alg_gui.m

......\......\batchdemo.m

......\......\Contents.m

......\......\learndemo.m

......\......\priv\alg_gui_onclose.m

......\......\....\replay_algorithm.m

......\......\....\run_algorithm.m

......\......\rrgwdemo.m

......\startuprl.m

......\world\Contents.m

......\.....\gridworld\Contents.m

......\.....\.........\gridworld.m

......\.....\.........\gridworldview.m

......\.....\.........\gridworldview_isvisible.m

......\.....\.........\gridworld_destroy.m

......\.....\.........\gridworld_display.m

......\.....\.........\gridworld_dynamics.m

......\.....\.........\gridworld_info.m

......\.....\.........\gridworld_obstacles.m

......\.....\.........\gridworld_reset.m

......\.....\robotsgw\Contents.m

......\.....\........\img\blackcross.jpg

......\.....\........\...\blue-socket.jpg

......\.....\........\...\bluecross.jpg

......\.....\........\...\bluedisc.jpg

......\.....\........\...\g0t0.gif

......\.....\........\...\g0t0.jpg

......\.....\........\...\g0t0.png

......\.....\........\...\r2d2.gif

......\.....\........\...\r2d2.jpg

......\.....\........\...\r2d2.png

......\.....\........\...\red-socket.jpg

......\.....\........\...\redcross.jpg

......\.....\........\...\reddisc.jpg

......\.....\........\robotsgw.m

......\.....\........\robotsgwview.m

......\.....\........\robotsgwview_isvisible.m

......\.....\........\robotsgw_destroy.m

......\.....\........\robotsgw_display.m

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